An application in the automotive filed for the Genetic Learning Automata Fuzzy Classifier System is presented in this work. As a non-linear model free-based strategy, the major advantages of this approach are its modularity and its extensibility. A controller designed using this method for a quarter-car model is applied to a 6-DOF model giving a reasonable performance. Comparisons with the LQR controller are also carried out.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Genetic Learning Automata and Fuzzy Controller Applied to Active Suspension


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2003 World Congress & Exhibition ; 2003



    Publication date :

    2003-03-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Genetic learning automata and fuzzy controller applied to active suspension

    Brandao,F.V. / Howell,M.N. / Loughborough Univ.of Technology,GB | Automotive engineering | 2003


    Genetic Learning Automata and Fuzzy Controller Applied to Active Suspension

    Brandao, F. V. / Howell, M. N. / Society of Automotive Engineers | British Library Conference Proceedings | 2003


    Fuzzy logic controller based Genetic algorithm for semi-active suspension

    Zhang, Jingjun / Gao, Ruizhen / Zhao, Ziyue et al. | Tema Archive | 2012


    Fuzzy logic controller for active suspension

    Yester,J.L. / McFall,R.H. / Ford Motor,US | Automotive engineering | 1992


    Fuzzy and neuro-fuzzy controller for active suspension

    Durali,M. / Kassaiazadeh,A.R. / Sharif Univ.of Technol.,IR | Automotive engineering | 2002